Real-time image-based FIT simulation using GPU computing and its application to nondestructive testing

Kazuyuki Nakahata, Kazushi Kimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A signal prediction simulation tool for ultrasonic testing (UT) has been developed by combining the finite integration technique (FIT) with an image-based modeling approach. A realistic numerical model of a target can be made directly from digital images such as X-ray CT and three dimensional point cloud data. The image-based FIT for UT is accelerated using graphics processing units (GPUs) with Compute Unified Device Architecture (CUDA) Fortran. The methodology is described, and checked by numerical experiments using multiple GPU boards. The calculation speed can be dramatically improved compared to that obtained by running the same simulation on a conventional CPU. As an application of the image-based FIT, we propose a simulation-aided flaw reconstruction method for UT by means of the time reversal approach. Scattered waves from a flaw are recorded using an array transducer, and the time-reversed waves are re-emitted to numerical model in the FIT simulation. The re-emitted waves propagate through the heterogeneous media and focus on the flaw. The shape of the flaw can be visually estimated from the focal point of the ultrasonic wave in the simulation.

Original languageEnglish
Title of host publicationECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers
Pages4285-4297
Number of pages13
Publication statusPublished - 2012
Event6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012 - Vienna, Austria
Duration: Sep 10 2012Sep 14 2012

Other

Other6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012
CountryAustria
CityVienna
Period9/10/129/14/12

Fingerprint

Graphics Processing Unit
Nondestructive examination
Ultrasonic testing
Real-time
Defects
Testing
Computing
Numerical models
Simulation
Ultrasonic Wave
Heterogeneous Media
Time Reversal
Ultrasonic waves
Point Cloud
Simulation Tool
Digital Image
Transducer
Program processors
Transducers
Numerical Experiment

Keywords

  • Finite integration technique
  • GPU computing
  • Image-based modeling
  • Nondestructive testing
  • Numerical simulation
  • Wave propagation

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

Cite this

Nakahata, K., & Kimoto, K. (2012). Real-time image-based FIT simulation using GPU computing and its application to nondestructive testing. In ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers (pp. 4285-4297)

Real-time image-based FIT simulation using GPU computing and its application to nondestructive testing. / Nakahata, Kazuyuki; Kimoto, Kazushi.

ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers. 2012. p. 4285-4297.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakahata, K & Kimoto, K 2012, Real-time image-based FIT simulation using GPU computing and its application to nondestructive testing. in ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers. pp. 4285-4297, 6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012, Vienna, Austria, 9/10/12.
Nakahata K, Kimoto K. Real-time image-based FIT simulation using GPU computing and its application to nondestructive testing. In ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers. 2012. p. 4285-4297
Nakahata, Kazuyuki ; Kimoto, Kazushi. / Real-time image-based FIT simulation using GPU computing and its application to nondestructive testing. ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers. 2012. pp. 4285-4297
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